Bräuer-Burchardt, Christian; Munkelt, Christoph; Bleier, Michael; Baumann, Anja; Heinze, Matthias; Gebhart, Ingo; Kühmstedt, Peter; Notni, Gunther:
Deepwater 3D measurements with a novel sensor system
In: Applied sciences : open access journal, Jg. 14 (2024), Heft 2, S. 1 - 17, Artikel 557
2024Artikel/Aufsatz in ZeitschriftOA Gold
08 Ingenieurwissenschaften » 690 Maschinenbau/Verfahrenstechnik » 6940 Produktions- und FertigungstechnologieTechnische Universität Ilmenau (1992-) » Fakultät für Maschinenbau (1992-) » Ohne Institutszuordnung (1992-) » Fachgebiet Qualitätssicherung und Industrielle Bildverarbeitung (2015-)
Titel in Englisch:
Deepwater 3D measurements with a novel sensor system
Autor*in:
Bräuer-Burchardt, Christian
GND
123004586
SCOPUS
56020288800
Sonstiges
korrespondierende*r Autor*in
;
Munkelt, Christoph
GND
1017823626
SCOPUS
9844059900
;
Bleier, Michael
GND
1313178330
SCOPUS
54956951700
;
Baumann, Anja
SCOPUS
59076050700
;
Heinze, Matthias
GND
1272182851
SCOPUS
9844935300
;
Gebhart, Ingo
GND
1272183297
SCOPUS
57208740872
;
Kühmstedt, Peter
GND
129048909
SCOPUS
6602230599
;
Notni, GuntherTU
GND
172636973
ORCID
0000-0001-7532-1560ORCID iD
SCOPUS
57225127198
SCOPUS
7004204934
Sonstiges
der Hochschule zugeordnet
Erscheinungsjahr:
2024
Open-Access-Publikationsweg:
OA Gold
Scopus ID
PPN:
Sprache des Textes:
Englisch
Schlagwort, Thema:
3D model generation ; deepwater ; motion compensation ; structured illumination ; underwater 3D sensor system ; visual odometry
Datenträgertyp:
Online-Ressource
Ressourcentyp:
Text
Lizenztyp:
CC BY 4.0
Access Rights:
Open Access
Peer Reviewed:
Ja
Teil der Statistik:
Ja

Abstract in Englisch:

A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolution 3D capture at a measuring volume of approximately 1 m3, as well as the simultaneous capture of color data using active stereo scanning with structured lighting, producing highly accurate and detailed 3D images for close-range inspection. Furthermore, the system uses visual inertial odometry to map the seafloor and create a rough 3D overall model of the environment via Simultaneous Localization and Mapping (SLAM). For this reason, the system is also suitable for geological, biological, or archaeological applications in underwater areas. This article describes the overall system and data processing, as well as initial results regarding the measurement accuracy and applicability from tests of the sensor system in a water basin and offshore with a Remotely Operating Vehicle (ROV) in the Baltic Sea.